FCAS, MAAA
Senior Consulting Actuary

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Gary C. Wang

Gary Wang is a Senior Consulting Actuary with Pinnacle Actuarial Resources, Inc. in the Bloomington, Illinois office. He holds a Bachelor of Science degree in mathematics from the University of Illinois and a Master of Science degree in mathematics education from Northern Illinois University. He also has extensive graduate level coursework in Theoretical and Applied Mathematics from Northern Illinois University. He has over seventeen years of actuarial experience in the property/casualty insurance industry.

Mr. Wang is a Fellow of the Casualty Actuarial Society (CAS) and a Member of the American Academy of Actuaries. He currently serves the CAS as a member of the Ratemaking and Product Management Planning Committee and the Examination Committee. Mr. Wang is a SAS® Certified Predictive Modeler Using SAS® Enterprise Miner™ 5.

Before joining Pinnacle, Mr. Wang was employed as a pricing actuary for three of the top ten insurance companies. His pricing experience includes standard homeowners rate indications, commercial auto rate indications, and reinsurance treaty pricing for both personal and commercial lines. In addition, he has experience in reserving analyses for commercial auto and market trend analyses for commercial auto and workers compensation.

At Pinnacle, Mr. Wang has worked extensively on the application of advanced statistical modeling techniques to the insurance process. His experience in predictive analytics applications include rating and underwriting plan design, homeowners by-peril analysis, auto vehicle characteristics analysis and scorecard development, and territory boundary development. Mr. Wang has made numerous presentations on topics relating to predictive modeling, ratemaking, and insurance credit-based scoring.

Publications and Media

September 28 2017 APEX Webinar
State of the UBI Market
Authored by Gary C. Wang and Michael K. Chen.

December 15, 2016 APEX Discussion Series
Autonomous Vehicles and Their Impact on the Insurance Space
Authored by Gary C. Wang and Michael K. Chen.

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Case Studies

Product Management

Product Management

One of our long-standing regional carriers had entered into a new market and asked for Pinnacle’s assistance in bringing their product and processes up-to-date. With Pinnacle’s product, pricing and product management expertise, we were able to provide a wide range of services to our client. Not only did we develop a new rating plan, we also drafted a completely new rate manual and rate pages. Pinnacle also reviewed their Underwriting guidelines and worked with the client to draft new guidelines consistent with the new rating plan and client risk appetite. Pinnacle followed the review through to reviewing system specifications, forms and competitive position and preparing the rate filings. In addition, Pinnacle was able to provide suggestions on customer notifications, agent notifications and ways to track the progress of the new program.

Reinsurance Price Optimization

Reinsurance Price Optimization

Pinnacle was approached by an insurance company to provide an independent review of their reinsurance program. The first step was to review historic ceded premiums and losses by treaty layer to determine the overall reinsurer profitability. Pinnacle then independently priced the existing reinsurance program to benchmark the current market pricing. Finally, Pinnacle provided a cost benefit analysis to help the client determine the optimal retention levels for its insurance program. With this information in hand and our support, our client was able to negotiate better terms for their reinsurance program.

Territory / Summit Analysis

Territory / Summit Analysis

The insurer had not reviewed or adjusted their territorial boundaries in several years; and their current territories were not based upon an analysis of their underlying loss experience.

Pinnacle began with an evaluation of available insurer and external industry data at the ZIP code level as well as their current and future policy processing capabilities. After all of the experience data was adjusted to a common base level, we used our Summit® software product to smooth the data to develop an initial adjusted pure premium by ZIP code to reflect both experience in a ZIP code and in neighboring ZIP codes. The number of additional neighboring ZIP codes used was dependent upon attaining a sufficient exposure level.

The smoothed data was then clustered using Summit® on both a contiguous and non-contiguous basis. The insurer needed to decide whether to maintain relatively contiguous definitions or use more granular and theoretically accurate non-contiguous definitions. Using statistical measures, we identified and graphed optimal definition sets. Non-contiguous definitions were selected by the client. To minimize the number of territories with a limited geographic area or only a few ZIP codes, some manual combination of “outlying” ZIP codes with territories (clusters) with similar adjusted pure premiums was performed.

Finally, we assisted the insurer in developing the necessary filing support material to gain approval. The new program is generating new business in areas of historical profitability but previously less than average competiveness. 

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